Delete.app.py

app.py

@@ -1,41 +0,0 @@
-from langchain_openai import ChatOpenAI
-from langchain_core.prompts import ChatPromptTemplate
-from langchain_core.output_parsers import StrOutputParser
-from langchain_community.llms import Ollama
-import streamlit as st
-import os
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Set environment variables
-os.environ["LANGCHAIN_TRACING_V2"] = "true"
-os.environ["LANGCHAIN_API_KEY"] = os.getenv("LANGCHAIN_API_KEY")
-
-# Prompt Template
-prompt = ChatPromptTemplate.from_messages(
-    [
-        ("system", "You are a helpful assistant. Please respond to the user queries"),
-        ("user", "Question: {question}")
-    ]
-)
-
-# Streamlit app setup
-st.title('Langchain Demo With LLAMA2 API')
-
-# User input
-input_text = st.text_input("Search the topic you want")
-
-# Ollama LLM (ensure the model is available, or access it through Hugging Face API)
-llm = Ollama(model="llama2")
-output_parser = StrOutputParser()
-chain = prompt | llm | output_parser
-
-# Display result when user inputs text
-if input_text:
-    try:
-        response = chain.invoke({"question": input_text})
-        st.write(response)
-    except Exception as e:
-        st.error(f"Error: {e}")